Latest News

Check out our latest work by Yikai Si and Shanshan Qin, “Continual-learning rules shape representational drift”, now on arXiv. This study shows how different continual-learning mechanisms produce distinct patterns of representational drift, linking drift to the stability-plasticity trade-off.

Welcome Yanzhe Zhao (赵彦喆), an undergraduate student in Automation at the School of Future Technology, Tianjin University, who joins our team as a visiting student!

Welcome Yue Yu (于越), an undergraduate Neuroscience student at University College London, who joins our team as a visiting student! Yue will be working on the

Welcome Jason Tang and Victor Hao Wu (吴浩), who join our team as visiting students, and Zhangming Gu (顾彰洺) and Tuo Xie

Welcome Zihan Zhou (周子涵), Yixuan Zhang (张昳轩), Dongdong Zhang (张东东), and Keyi Si (司

Welcome Yuyu Tang (唐羽羽) and Changyao Ma (马畅遥) to our team! We’re excited to have you on board as visiting students. They

Shanshan’s work on “A Network of Biologically Inspired Rectified Spectral Units (ReSUs) Learns Hierarchical Features Without Error Backpropagation” is featured by the Flatiron Institute, Simons Foundation. Learn more about “Biological Brains Inspire a New Building Block for Artificial Neural Networks”.

Shanshan is attending the AAAI 2026 conference at Singapore from January 21 - 28, 2026. He is presenting his work on “A Network of Biologically Inspired Rectified Spectral Units (ReSUs) Learns Hierarchical Features Without Error Backpropagation”.

Check out our latest work on a normative theory of neural representation here. We propose the Principle of Isomorphism (PIso): population activity preserves the essential mathematical structures of the tasks it supports.

Welcome Zikai Fang (方子锴) to our team! We’re excited to have you on board as an undergraduate research assistant.